Useful or Creepy? The Effect of Exchanged Benefits and Information Collection in Social Media Advertisements

1 citations

Abstract

As digital businesses increasingly use covert methods to collect consumer data for targeted advertisements, many consumers perceive these practices as intrusive. While recent research indicates a willingness to share personal information for rewards, there is limited understanding of the factors motivating such disclosure, particularly in social media advertising. An online survey of 199 U.S. Instagram users revealed that exchanged benefits (e.g., monetary rewards and personalized product recommendations) led to a higher willingness to disclose information through a trade-off between benefit and risk, which in turn led to higher click-through and purchase intentions. However, the proposed moderating role of the information collection method (e.g., overt vs. covert) was not found to be significant. This study offers valuable insights for practitioners, which can be utilized to foster positive consumer attitudes in social media advertising.

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Study specs

An online survey was conducted among U.S. Instagram users to assess attitudes toward benefit-risk trade-offs in personal data disclosure for advertising purposes.

Authors
S Kwon,NL Kim
Sample Size
N=199
Study Type
Survey Research
Year
2025
Human Data Platform
Prolific

Measured Outcomes

Willingness to disclose personal information, click-through intentions, and purchase intentions based on perceived benefits and risks in social media advertisements.

Peer Review & Critical Discussion

3 threads

Potential Selection Bias in 2023 Cohort

DSJDr. Sarah J.
Verified PhD Candidate
12 replies

The participant pool shows a concerning overrepresentation of users from high-income demographics. Looking at Table 3, we can see that 78% of respondents had annual incomes above $75k, which significantly limits the generalizability of these findings to broader populations.

2 hours ago

Non-naive Participants Issue

MCM. Chen (OpenAI)
Data Scientist
8 replies

I've noticed a methodological concern regarding participant naivety. Given that Prolific users often complete multiple studies, there's a real risk that participants had prior exposure to similar experimental paradigms, which could confound the results.

5 hours ago

RLHF Applicability to This Study Design

PRWProf. R. Williams
Verified Researcher
15 replies

The implications for RLHF training pipelines are understated. If we accept the authors' conclusions about preference stability, this has direct consequences for how we should structure reward model training. The temporal decay effect described in Section 4.2 is particularly relevant.

1 day ago

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